large-traversaal/Alif-1.0-3B-Instruct

Alif 1.0 3B Instruct

Alif 1.0 3B Instruct is an open-source instruction-tuned language model developed by traversaal.ai, focused on Urdu and English understanding and reasoning. Fine-tuned with high-quality, culturally aware synthetic data, Alif delivers strong multilingual performance with a particular emphasis on low-resource language alignment and nuanced instruction following.

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Key Highlights

• Multilingual: Optimized for Urdu (primary) and English (secondary)
• Instruction-tuned: Trained on synthetic QA, chat, and reasoning tasks
• Lightweight: Only 3 billion parameters — fast, memory-efficient
• 4-bit Quantized Version: Available for on-device inference
• Training Framework: Fine-tuned 2× faster using Unsloth + TRL

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Model Metadata

• Developer: large-traversaal
• License: Apache 2.0
• Base Model: unsloth/Llama-3.2-3B
• Model ID: Alif-1.0-3B-Instruct
• Parameters: 3 billion

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Use Cases

Alif is ideal for:

• Urdu and English chatbots
• Question answering in low-resource languages
• Translation, summarization, and creative writing
• Running on edge devices with the 4-bit version

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Citation

@article{ShafiqueAlif2025,
  title        = {Alif: Advancing Urdu Large Language Models via Multilingual Synthetic Data Distillation},
  author       = {Muhammad Ali Shafique and Kanwal Mehreen and Muhammad Arham and Maaz Amjad and Sabur Butt and Hamza Farooq},
  journal      = {arXiv preprint arXiv:2510.09051},
  year         = {2025},
  url          = {https://arxiv.org/abs/2510.09051}
}